Buitenlandse media zijn onder de indruk van de 5-1 overwinning van Oranje op Zweden van zaterdagavond.
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Duitsland heeft zaterdagavond dankzij twee goals van invaller Deniz Undav met 2-1 gewonnen van Ivoorkust. De beslissende goal viel pas in de 94ste minuut.
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This week OpenAI announced a 750-task test to to measure "whether AI systems can support realistic life science research tasks, not just answer biology questions."
But while OpenAI's top-performing GPT-Rosalind model led the rankings, Slashdot reader BrianFagioli notes that "it achieved a pass rate of just 36.1 percent, failing nearly two-thirds of benchmark tasks." Nerds.xyz points out that means "the best-performing model failed nearly two-thirds of the benchmark's tasks."
The benchmark also revealed a familiar weakness. AI systems generally perform better when everything is presented as text. Once they are forced to work with supporting documents, figures, or complex datasets, performance drops noticeably. GPT-Rosalind's pass rate fell from 45.1 percent on text-only tasks to 28.1 percent on tasks involving artifacts or URLs.
To be fair, the benchmark is not intended to suggest AI is useless in research. Quite the opposite. OpenAI found that models are becoming increasingly capable of scientific communication, evidence synthesis, and translating research findings into practical explanations. Those are valuable skills, particularly for researchers drowning in information. But LifeSciBench serves as a useful reminder that today's AI systems are still far from autonomous scientists. They can help. They can assist. They can sometimes provide surprisingly useful insights. What they cannot reliably do, however, is replace the expertise, judgment, and skepticism that real scientific research requires.
But while OpenAI's top-performing GPT-Rosalind model led the rankings, Slashdot reader BrianFagioli notes that "it achieved a pass rate of just 36.1 percent, failing nearly two-thirds of benchmark tasks." Nerds.xyz points out that means "the best-performing model failed nearly two-thirds of the benchmark's tasks."
The benchmark also revealed a familiar weakness. AI systems generally perform better when everything is presented as text. Once they are forced to work with supporting documents, figures, or complex datasets, performance drops noticeably. GPT-Rosalind's pass rate fell from 45.1 percent on text-only tasks to 28.1 percent on tasks involving artifacts or URLs.
To be fair, the benchmark is not intended to suggest AI is useless in research. Quite the opposite. OpenAI found that models are becoming increasingly capable of scientific communication, evidence synthesis, and translating research findings into practical explanations. Those are valuable skills, particularly for researchers drowning in information. But LifeSciBench serves as a useful reminder that today's AI systems are still far from autonomous scientists. They can help. They can assist. They can sometimes provide surprisingly useful insights. What they cannot reliably do, however, is replace the expertise, judgment, and skepticism that real scientific research requires.
Read more of this story at Slashdot.
Long-time Slashdot reader smooth wombat writes: Alan Turing, one of the more famous people who worked at Bletchley Park to decipher the German Enigma coding machine, was also working on a separate project. His private papers, known as the Bayley papers for his assistant Donald Bayley who held onto the papers until his death in 2020, reveal Turning had produced a working model of a portable voice encryption device. He even demonstrated it by using a Winston Churchill speech recording. "Weighing just 39 kg, including its power pack," Jack Copeland wrote in an article for IEEE Spectrum, "Delilah would be at home in a truck, a trench, or a large backpack."
More from Popular Mechanics:
Turingâ(TM)s work at Bletchley Park actually informed the Delilah experimentation he was doing at Hanslope Park, and not just because he used Red Forms, the Army-issue sheets Hanslope staffers were meant to use to alert Bletchley staffers to enemy signals, as his personal scrap paper for Delilah experiments. He drew inspiration from one of the German cipher machines they had decoded at Bletchley; not the famed Enigma machine, but rather the SZ42. While the former relied on Morse Code, the latter utilized a 5-bit telegraph code, which Copeland notes âoewas a forerunner of ASCII and Unicode and is still used by some ham radio operators.â The SZ42 produced an obscuring key of telegraph characters, with an identical key produced to both the sender and receiver. If it could be done for text, Turing reasoned it could be done for sound as well...
[T]he reason Delilah fell to the wayside of history isnâ(TM)t because it was a failure, but rather because it simply wasnâ(TM)t needed anymore. By the time Turing had built and demonstrated his device, the war was over. What good was a portable voice encryptor if you had no major enemies trying to intercept your calls, the government reasoned. So funding for the project stopped, and Turingâ(TM)s two-year experiment ended with a whimper. Turingâ(TM)s time as an electrical engineer at Hanslope Park became a footnote in his story, if even that.
More from Popular Mechanics:
Turingâ(TM)s work at Bletchley Park actually informed the Delilah experimentation he was doing at Hanslope Park, and not just because he used Red Forms, the Army-issue sheets Hanslope staffers were meant to use to alert Bletchley staffers to enemy signals, as his personal scrap paper for Delilah experiments. He drew inspiration from one of the German cipher machines they had decoded at Bletchley; not the famed Enigma machine, but rather the SZ42. While the former relied on Morse Code, the latter utilized a 5-bit telegraph code, which Copeland notes âoewas a forerunner of ASCII and Unicode and is still used by some ham radio operators.â The SZ42 produced an obscuring key of telegraph characters, with an identical key produced to both the sender and receiver. If it could be done for text, Turing reasoned it could be done for sound as well...
[T]he reason Delilah fell to the wayside of history isnâ(TM)t because it was a failure, but rather because it simply wasnâ(TM)t needed anymore. By the time Turing had built and demonstrated his device, the war was over. What good was a portable voice encryptor if you had no major enemies trying to intercept your calls, the government reasoned. So funding for the project stopped, and Turingâ(TM)s two-year experiment ended with a whimper. Turingâ(TM)s time as an electrical engineer at Hanslope Park became a footnote in his story, if even that.
Read more of this story at Slashdot.
Long-time tech pundit Robert Cringely started his career at the Stanford Artificial Intelligence Lab back in 1978. Last month 73-year-old Cringely explained why his site went on a two-year hiatus — and it's not just because of a heart attack and a stroke last July:
Just like everyone else, I've been busy all this time on Artificial Intelligence, founding with two partners a company called 2Brains... The work we were doing together is unfinished, but it's not stopped. The patents are filed, the architecture is documented, and the small team continuing the work includes me.
Cringely's first piece made the cast that "the trillion-dollar bet the AI industry is making right now may be wrong, and that there's an architectural alternative we've patented and built."
In Machines of Loving Grace, Amodei made the case that scaling compute would eventually solve essentially every hard problem in artificial intelligence. Buried in that optimism — or maybe not buried, maybe right out in the open — was a quiet absolution. Hallucinations, the embarrassing tendency of these systems to state falsehoods with total confidence, would take care of themselves. Make the models big enough, train them long enough, and the problem dissolves. You don't have to solve it. You just have to wait, and spend. And so the entire AI industry breathed a sigh of relief.
I have spent forty years watching this industry, and I know a permission slip when I see one.
Because that is what the essay became, whatever Amodei intended. It gave every other person writing nine- and ten-figure checks a reason not to worry about the one thing that should worry them most. The hallucination problem is the difference between a clever toy and a system a hospital or a bank or a court can actually rely on. It is the whole ballgame for enterprise AI. And the prevailing wisdom, blessed from the top, is that you needn't address it directly. Scale will provide...
A small company I helped start, 2Brains Inc., set out in 2022 to solve hallucinations — before ChatGPT, before the scaling consensus hardened into received truth, back when the polite assumption was that the problem was simply insurmountable. We did not solve it by waiting for bigger models. We solved it architecturally, by separating the part of the system that generates language from the part that retrieves and verifies facts, and reconciling the two before anything reaches the user. It runs on ordinary processors. It is cheap. And on the industry's own benchmark for this kind of faithfulness, it more than doubles the published baseline, with no fabricated facts in the verified case at all.
The article asks whether scaling will, at tremendous cost, eventually reduce hallucinations — or even worse, if the largest companies in the world "are spending a fortune chasing a cure that is not coming."
And last week Cringely pitched more advantages for their solution, noting that most prompts aren't even chatbot-level creative prompts — but just requests to retrieve simple data:
The reason 2Brains doesn't lie and the reason it's cheap are the same reason. It looks the fact up instead of guessing it — so it cannot fabricate, and the lookup runs on a processor that sips power instead of a chip that gulps it. Trust and thrift are not a trade-off you balance against each other. They fall out of a single design decision. You do not pay extra for the honest version. The honest version is the cheap version. That sentence is the whole company.
Just like everyone else, I've been busy all this time on Artificial Intelligence, founding with two partners a company called 2Brains... The work we were doing together is unfinished, but it's not stopped. The patents are filed, the architecture is documented, and the small team continuing the work includes me.
Cringely's first piece made the cast that "the trillion-dollar bet the AI industry is making right now may be wrong, and that there's an architectural alternative we've patented and built."
In Machines of Loving Grace, Amodei made the case that scaling compute would eventually solve essentially every hard problem in artificial intelligence. Buried in that optimism — or maybe not buried, maybe right out in the open — was a quiet absolution. Hallucinations, the embarrassing tendency of these systems to state falsehoods with total confidence, would take care of themselves. Make the models big enough, train them long enough, and the problem dissolves. You don't have to solve it. You just have to wait, and spend. And so the entire AI industry breathed a sigh of relief.
I have spent forty years watching this industry, and I know a permission slip when I see one.
Because that is what the essay became, whatever Amodei intended. It gave every other person writing nine- and ten-figure checks a reason not to worry about the one thing that should worry them most. The hallucination problem is the difference between a clever toy and a system a hospital or a bank or a court can actually rely on. It is the whole ballgame for enterprise AI. And the prevailing wisdom, blessed from the top, is that you needn't address it directly. Scale will provide...
A small company I helped start, 2Brains Inc., set out in 2022 to solve hallucinations — before ChatGPT, before the scaling consensus hardened into received truth, back when the polite assumption was that the problem was simply insurmountable. We did not solve it by waiting for bigger models. We solved it architecturally, by separating the part of the system that generates language from the part that retrieves and verifies facts, and reconciling the two before anything reaches the user. It runs on ordinary processors. It is cheap. And on the industry's own benchmark for this kind of faithfulness, it more than doubles the published baseline, with no fabricated facts in the verified case at all.
The article asks whether scaling will, at tremendous cost, eventually reduce hallucinations — or even worse, if the largest companies in the world "are spending a fortune chasing a cure that is not coming."
And last week Cringely pitched more advantages for their solution, noting that most prompts aren't even chatbot-level creative prompts — but just requests to retrieve simple data:
The reason 2Brains doesn't lie and the reason it's cheap are the same reason. It looks the fact up instead of guessing it — so it cannot fabricate, and the lookup runs on a processor that sips power instead of a chip that gulps it. Trust and thrift are not a trade-off you balance against each other. They fall out of a single design decision. You do not pay extra for the honest version. The honest version is the cheap version. That sentence is the whole company.
Read more of this story at Slashdot.
DE BILT (ANP) - Het KNMI heeft opnieuw code oranje afgegeven voor de provincie Limburg. Eerder op de dag waarschuwde het meteorologisch instituut al voor onder meer onweersbuien in het zuiden en zuidoosten van het land. In de provincies Zeeland, Noord-Brabant en Gelderland geldt code geel wegens de kans op onweer.
In Limburg is kans op zwaar onweer, met grote hagel en zware windstoten. Met name de hagel en veel regen in korte tijd, gepaard met harde windstoten, kunnen voor veel overlast zorgen, waarschuwt het KNMI.
Vrijdagavond en in de nacht van vrijdag op zaterdag was ook sprake van noodweer. Het KNMI gaf toen voor een groot deel van het land code oranje af vanwege zware onweersbuien.
Daarnaast geldt voor vrijwel heel het land, op Friesland en Groningen na, code geel wegens de hoge temperaturen. Die waarschuwing blijft naar verwachting tot maandag 13.00 uur van kracht.
LONDEN (ANP/RTR) - De Britse premier Keir Starmer gaat naar verwachting maandag aftreden, meldt de Britse krant The Observer. Eerder berichtten media al dat hij dit weekend een keuze zou maken over het voortzetten van zijn premierschap. Volgens The Observer is Starmer tot de conclusie gekomen dat zijn positie onhoudbaar is.
Een regeringsbron liet na het nieuws van The Observer aan persbureau Reuters weten dat Starmer "zich volledig op zijn werk blijft concentreren".
Starmer kwam onder meer onder vuur te liggen vanwege het aanstellen van de omstreden Peter Mandelson als ambassadeur in de Verenigde Staten. Afgelopen week boekte zijn rivaal Andy Burnham een lokale verkiezingswinst, waardoor die Starmer kan uitdagen om het premierschap over te nemen. Burnham kan volgens zijn aanhangers rekenen op de steun van 201 parlementariërs, meldt The Observer.
Starmer zou dit weekend gesprekken hebben gevoerd met belangrijke figuren binnen de Britse politiek en zijn partij Labour. Hij probeert de rust te bewaren bij zijn aftreden, zeggen anonieme bronnen binnen Labour die The Observer sprak.
Weer voor Rotterdam ☁️ - 21-06-2026 01:15 CEST
In één oogopslag:
• 22.0°C · Gedeeltelijk bewolkt ☁️ | Min 21.3°C / Max 27.7°C | Kans op neerslag 20%
Verwachting voor vandaag:
• Min 21.3°C, Max 27.7°C (Matige motregen) 🌦️, Neerslag 0.7 mm, Kans op neerslag 20%, 🧭 1025.1 hPa ↗️ +1.4 hPa/24h, Windsnelheid: 16.2 km/u (4.5 m/s), richting: → 274°
Uurlijkse voorspelling voor de komende 12 uur:
• 02:00: 22.0°C (Bewolkt) ☁️, Kans op neerslag 53%, 🧭 1023.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 9.7 km/u (2.7 m/s), richting: ↙ 49°
• 03:00: 22.2°C (Bewolkt) ☁️, Kans op neerslag 70%, 🧭 1023.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 11.2 km/u (3.1 m/s), richting: ↖ 127°
• 04:00: 21.5°C (Lichte motregen) 🌦️, Neerslag 0.1 mm, Kans op neerslag 85%, 🧭 1023.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 8.6 km/u (2.4 m/s), richting: ↖ 127°
• 05:00: 21.3°C (Bewolkt) ☁️, Kans op neerslag 96%, 🧭 1023.9 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 3.2 km/u (0.9 m/s), richting: ↖ 124°
• 06:00: 21.3°C (Licht bewolkt) 🌤️, Kans op neerslag 100%, 🧭 1024.7 hPa ↗️ +0.8 hPa/1h, Windsnelheid: 6.5 km/u (1.8 m/s), richting: ← 110°
• 07:00: 21.3°C (Gedeeltelijk bewolkt) ⛅, Kans op neerslag 100%, 🧭 1024.2 hPa ↘️ -0.5 hPa/1h, Windsnelheid: 6.1 km/u (1.7 m/s), richting: ↖ 116°
• 08:00: 22.0°C (Bewolkt) ☁️, Kans op neerslag 92%, 🧭 1024.8 hPa ↗️ +0.6 hPa/1h, Windsnelheid: 5.0 km/u (1.4 m/s), richting: ↖ 129°
• 09:00: 23.4°C (Zonnig) ☀️, Kans op neerslag 69%, 🧭 1025.1 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 4.7 km/u (1.3 m/s), richting: ↑ 169°
• 10:00: 24.6°C (Zonnig) ☀️, Kans op neerslag 38%, 🧭 1025.6 hPa ↗️ +0.5 hPa/1h, Windsnelheid: 5.0 km/u (1.4 m/s), richting: ↗ 205°
• 11:00: 26.1°C (Zonnig) ☀️, Kans op neerslag 14%, 🧭 1025.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 3.2 km/u (0.9 m/s), richting: ↑ 196°
• 12:00: 27.6°C (Bewolkt) ☁️, Kans op neerslag 5%, 🧭 1025.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 2.5 km/u (0.7 m/s), richting: ↘ 307°
• 13:00: 28.9°C (Licht bewolkt) 🌤️, Kans op neerslag 5%, 🧭 1025.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 5.8 km/u (1.6 m/s), richting: ↙ 54°
Voorspelling voor de komende dagen:
• maandag 22 juni: Min 21.3°C, Max 30.5°C (Lichte motregen) 🌦️, Neerslag 0.1 mm, Kans op neerslag 33%, 🧭 1026.0 hPa ↗️ +0.9 hPa/24h, Windsnelheid: 19.4 km/u (5.4 m/s), richting: ↙ 64°
• dinsdag 23 juni: Min 19.3°C, Max 29.4°C (Bewolkt) ☁️, 🧭 1022.4 hPa ↘️ -3.6 hPa/24h, Windsnelheid: 17.6 km/u (4.9 m/s), richting: ↙ 44°
• woensdag 24 juni: Min 19.1°C, Max 28.8°C (Bewolkt) ☁️, Kans op neerslag 3%, 🧭 1018.8 hPa ↘️ -3.6 hPa/24h, Windsnelheid: 11.5 km/u (3.2 m/s), richting: ← 74°
• donderdag 25 juni: Min 21.1°C, Max 33.8°C (Licht bewolkt) 🌤️, 🧭 1016.6 hPa ↘️ -2.2 hPa/24h, Windsnelheid: 6.0 km/u (1.7 m/s), richting: ↖ 138°
• vrijdag 26 juni: Min 25.0°C, Max 35.0°C (Bewolkt) ☁️, 🧭 1014.3 hPa ↘️ -2.3 hPa/24h, Windsnelheid: 15.0 km/u (4.2 m/s), richting: ← 90°
• zaterdag 27 juni: Min 26.0°C, Max 35.9°C (Lichte onweersbui) ⛈️, Kans op neerslag 3%, 🧭 1013.2 hPa ↘️ -1.1 hPa/24h, Windsnelheid: 11.3 km/u (3.1 m/s), richting: ↑ 168°
Details:
• 🌡️ Huidige temperatuur (om 01:15): 22.0°C (Gedeeltelijk bewolkt)
• 🤚 Gevoelstemperatuur: 22.6°C (+0.6°C)
• 💨 Windsnelheid: 9.4 km/u (2.6 m/s), richting: ↙ 45°
• 🌬️ Windstoten: 19.8 km/h (5.5 m/s)
• 💧 Luchtvochtigheid: 69%
• 🧭 Luchtdruk: 1023.7 hPa ➡️ 0.0 hPa/3h
• 👁️ Zichtbaarheid: 50.0 km
• ☀️ UV-index: 0.0
• 🌅 Zonsopgang: 05:22 · 🌇 Zonsondergang: 22:05
Luchtkwaliteit:
• AQI: 34 🟢 (Goed)
• PM2.5: 7.3 μg/m³
• PM10: 9.8 μg/m³
Gegevens geleverd door Open-Meteo
#Rotterdam #Meteo #MeteoBot #MeteoNetherlands #OpenMeteo #FediMeteo
In één oogopslag:
• 22.0°C · Gedeeltelijk bewolkt ☁️ | Min 21.3°C / Max 27.7°C | Kans op neerslag 20%
Verwachting voor vandaag:
• Min 21.3°C, Max 27.7°C (Matige motregen) 🌦️, Neerslag 0.7 mm, Kans op neerslag 20%, 🧭 1025.1 hPa ↗️ +1.4 hPa/24h, Windsnelheid: 16.2 km/u (4.5 m/s), richting: → 274°
Uurlijkse voorspelling voor de komende 12 uur:
• 02:00: 22.0°C (Bewolkt) ☁️, Kans op neerslag 53%, 🧭 1023.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 9.7 km/u (2.7 m/s), richting: ↙ 49°
• 03:00: 22.2°C (Bewolkt) ☁️, Kans op neerslag 70%, 🧭 1023.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 11.2 km/u (3.1 m/s), richting: ↖ 127°
• 04:00: 21.5°C (Lichte motregen) 🌦️, Neerslag 0.1 mm, Kans op neerslag 85%, 🧭 1023.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 8.6 km/u (2.4 m/s), richting: ↖ 127°
• 05:00: 21.3°C (Bewolkt) ☁️, Kans op neerslag 96%, 🧭 1023.9 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 3.2 km/u (0.9 m/s), richting: ↖ 124°
• 06:00: 21.3°C (Licht bewolkt) 🌤️, Kans op neerslag 100%, 🧭 1024.7 hPa ↗️ +0.8 hPa/1h, Windsnelheid: 6.5 km/u (1.8 m/s), richting: ← 110°
• 07:00: 21.3°C (Gedeeltelijk bewolkt) ⛅, Kans op neerslag 100%, 🧭 1024.2 hPa ↘️ -0.5 hPa/1h, Windsnelheid: 6.1 km/u (1.7 m/s), richting: ↖ 116°
• 08:00: 22.0°C (Bewolkt) ☁️, Kans op neerslag 92%, 🧭 1024.8 hPa ↗️ +0.6 hPa/1h, Windsnelheid: 5.0 km/u (1.4 m/s), richting: ↖ 129°
• 09:00: 23.4°C (Zonnig) ☀️, Kans op neerslag 69%, 🧭 1025.1 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 4.7 km/u (1.3 m/s), richting: ↑ 169°
• 10:00: 24.6°C (Zonnig) ☀️, Kans op neerslag 38%, 🧭 1025.6 hPa ↗️ +0.5 hPa/1h, Windsnelheid: 5.0 km/u (1.4 m/s), richting: ↗ 205°
• 11:00: 26.1°C (Zonnig) ☀️, Kans op neerslag 14%, 🧭 1025.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 3.2 km/u (0.9 m/s), richting: ↑ 196°
• 12:00: 27.6°C (Bewolkt) ☁️, Kans op neerslag 5%, 🧭 1025.8 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 2.5 km/u (0.7 m/s), richting: ↘ 307°
• 13:00: 28.9°C (Licht bewolkt) 🌤️, Kans op neerslag 5%, 🧭 1025.7 hPa ➡️ 0.0 hPa/1h, Windsnelheid: 5.8 km/u (1.6 m/s), richting: ↙ 54°
Voorspelling voor de komende dagen:
• maandag 22 juni: Min 21.3°C, Max 30.5°C (Lichte motregen) 🌦️, Neerslag 0.1 mm, Kans op neerslag 33%, 🧭 1026.0 hPa ↗️ +0.9 hPa/24h, Windsnelheid: 19.4 km/u (5.4 m/s), richting: ↙ 64°
• dinsdag 23 juni: Min 19.3°C, Max 29.4°C (Bewolkt) ☁️, 🧭 1022.4 hPa ↘️ -3.6 hPa/24h, Windsnelheid: 17.6 km/u (4.9 m/s), richting: ↙ 44°
• woensdag 24 juni: Min 19.1°C, Max 28.8°C (Bewolkt) ☁️, Kans op neerslag 3%, 🧭 1018.8 hPa ↘️ -3.6 hPa/24h, Windsnelheid: 11.5 km/u (3.2 m/s), richting: ← 74°
• donderdag 25 juni: Min 21.1°C, Max 33.8°C (Licht bewolkt) 🌤️, 🧭 1016.6 hPa ↘️ -2.2 hPa/24h, Windsnelheid: 6.0 km/u (1.7 m/s), richting: ↖ 138°
• vrijdag 26 juni: Min 25.0°C, Max 35.0°C (Bewolkt) ☁️, 🧭 1014.3 hPa ↘️ -2.3 hPa/24h, Windsnelheid: 15.0 km/u (4.2 m/s), richting: ← 90°
• zaterdag 27 juni: Min 26.0°C, Max 35.9°C (Lichte onweersbui) ⛈️, Kans op neerslag 3%, 🧭 1013.2 hPa ↘️ -1.1 hPa/24h, Windsnelheid: 11.3 km/u (3.1 m/s), richting: ↑ 168°
Details:
• 🌡️ Huidige temperatuur (om 01:15): 22.0°C (Gedeeltelijk bewolkt)
• 🤚 Gevoelstemperatuur: 22.6°C (+0.6°C)
• 💨 Windsnelheid: 9.4 km/u (2.6 m/s), richting: ↙ 45°
• 🌬️ Windstoten: 19.8 km/h (5.5 m/s)
• 💧 Luchtvochtigheid: 69%
• 🧭 Luchtdruk: 1023.7 hPa ➡️ 0.0 hPa/3h
• 👁️ Zichtbaarheid: 50.0 km
• ☀️ UV-index: 0.0
• 🌅 Zonsopgang: 05:22 · 🌇 Zonsondergang: 22:05
Luchtkwaliteit:
• AQI: 34 🟢 (Goed)
• PM2.5: 7.3 μg/m³
• PM10: 9.8 μg/m³
Gegevens geleverd door Open-Meteo
#Rotterdam #Meteo #MeteoBot #MeteoNetherlands #OpenMeteo #FediMeteo
⚽️ World Cup kick-off: 8pm EDT/1am BST/10am AEST
⚽️ Player guide | Bracketology | Golden Boot | Mail Alex
The referee tonight is Ma Ning from China, where he has amassed quite a large fanbase (for a referee) owing to the country’s failure to qualify for any World Cup since 2002. He’s a big enough deal to have attracted sponsorships from the likes of Lenovo and Hisense, according to the BBC.
Nicknamed the “card master” owing to his strict approach, this will be Ma Ning’s World Cup debut – the first game officiated by a Chinese referee since the 2002 edition.
Continue reading...Buckingham Palace says move is intended to increase ‘clarity and accessibility’ of monarchy’s finances
King Charles will become the first head of state to reveal their personal tax bill in what the palace said was an attempt to enhance the transparency of royal finances.
Charles, 77, will publish his financial details as part of the royal household increasing the “clarity and accessibility” of the monarchy’s finances by producing a new report on the subject.
Continue reading...For the first time in more than a decade, Germany will play in the World Cup knockout stages. Their 2-1 victory at the death over Côte d’Ivoire in a lively tie here on Saturday saw to that. Franck Kessié’s 30th-minute goal for Les Éléphants was cancelled out by Deniz Undav’s 68th-minute equaliser and 94th-minute winner for Die Mannschaft.
The victory put the four-time world champions on six points, although the youngest team at this tournament gave the Germans a far tougher test than in the 7-1 crunching of Curaçao six days ago.
Continue reading...Gary Lineker in familiar territory as he kicked off his ITV appearance with a light-hearted cameo as a presenter
Gary Lineker was back in familiar territory on Saturday night as he returned to free-to-air TV and even kicked off his ITV appearance with a brief cameo as a presenter.
Lineker, who presented BBC’s Match of the Day for 26 years until he departed the corporation last May, was revealed on Friday as a pundit for ITV’s World Cup coverage of Germany against Côte d’Ivoire in Group E.
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Gaming commentator Jeff Gerstmann has completed his quest to play and rank (completely scientifically, of course) every game released for the Nintendo Entertainment System. He discussed the three-year passion project with CTV's Your Morning, and revealed that for a sequel, he will give the same comprehensive treatment to the N64.
So what NES games win the laurels? They may not be what you expect...
Gerstmann's intent was to judge how games hold up up without the rose-tinted glasses through which we tend to view our nostalgic faves. The Contra of our hearts is different from the Contra as viewed through the cold eyes of Science! And Zelda II, perhaps we judged you too harshly... The list in the first link is lovingly maintained by fans, not Gerstmann himself; you can find the full playlist of his streams here. Here are the top ten: 1. Mega Man 2 2. Bionic Commando 3. Super Mario Bros. 4. The Legend of Zelda 5. Super Mario Bros. 3 6. Zelda II: The Adventure of Link 7. Kirby's Adventure 8. Rygar 9. River City Ransom 10. Super Mario Bros. 2 Let the quibbling begin! I'll start: Blaster Master was robbed!
Gerstmann's intent was to judge how games hold up up without the rose-tinted glasses through which we tend to view our nostalgic faves. The Contra of our hearts is different from the Contra as viewed through the cold eyes of Science! And Zelda II, perhaps we judged you too harshly... The list in the first link is lovingly maintained by fans, not Gerstmann himself; you can find the full playlist of his streams here. Here are the top ten: 1. Mega Man 2 2. Bionic Commando 3. Super Mario Bros. 4. The Legend of Zelda 5. Super Mario Bros. 3 6. Zelda II: The Adventure of Link 7. Kirby's Adventure 8. Rygar 9. River City Ransom 10. Super Mario Bros. 2 Let the quibbling begin! I'll start: Blaster Master was robbed!
